Data privacy protection in medical alliance chain based on K-anonymity

Abstract

At present, there are many threats to medical data security. Because of the different standards of data storage and system, it is very difficult to share medical data and protect data privacy. This paper proposes a data privacy protection method based on K-anonymity for medical alliance chain. The data privacy protection method of Medical Alliance chain in this paper consists of four steps: (1) constructing equivalent classes; (2) medical data slicing; (3) data iteration; (4) medical data reorganization. The scheme of data privacy protection in Medical Alliance chain proposed in this paper has high security, no trusted third party and low energy consumption. It is a privacy protection method suitable for application and medical alliance chain data.